Good-day,

We have immediate opportunity for ML Systems.

Job Role: ML Systems

Job Location: Pune ( Kharadi & Hinjewadi)

Experience- 5 to 15 years

Notice Perod : upto 15 Days .

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Organization Overview:

ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence.

Job Description:

ML Solutions team is seeking a skilled and innovative ML Systems Engineer with ML Ops experience to join our team. In this role, you will be responsible for building and maintaining scalable backend systems, deploying data science (DS) models, and designing robust pipelines that enable seamless integration of DS solutions into our applications. You will work closely with data scientists and front end engineers to help bridge the gap between data science and production-ready systems. If you're passionate about operationalizing data Science models, creating reliable backend services, and improving the lifecycle of data science workflows, this role could be a great fit for you.

Key Responsibilities:

• ML backend and Orchestration:
• Hands on development of ML Systems backend infrastructure, messaging and integration with interfacing systems
• Design, build, and maintain APIs, Microservices, and systems to serve data science models.
• Ensure ML Infrastructure systems are scalable, reliable, and secure
• Database Management:
• Work with SQLAlchemy to define, maintain, and query the database schema for an application.
• Work with raw SQL to run advanced queries for things like alerting and reporting.
• ML Ops Implementation:
• Develop and maintain CI/CD pipelines for data science models and services
• Automate and track data science workflows with tools like MLflow
• Infrastructure:
• Manage and optimize Kubernetes cluster via Openshift.
• Implement and manage various infrastructure components such as PostgreSQL, Kafka, S3.
• Knowledge of running workloads in AWS or GCP will be plus.
• Collaboration:
• Work with data scientists to understand model requirements and ensure successful deployment into production systems
• Collaborate with DevOps and infrastructure teams to improve scalability and reliability
• Performance & Optimization:
• Optimize backend services and data science model inference for latency and throughput
• Troubleshoot issues in production environments, ensuring high availability of services

Skills & Qualifications:

• Proficiency in Python
• Hands on experience working with a Python web framework such as FastAPI, Flask, Django, etc
• Peripheral knowledge in Machine Learning and Data Science
• Working knowledge in MLOps principals such as experiment tracking, model serving, model orchestration, etc.
• Hands on experience with designing DB driven applications and using an ORM such as SQLAlchemy.
• Hands on experience with deploying and maintaining production applications
• Hands on experience with managing and debugging the necessary infrastructure to support a full stack application
• Hands on experience with Kubernetes
• Hands on experience working with stream processing tools like Kafka or Apache Spark
• Bachelor’s degree or equivalent experience in Computer Science or a related field.

Ideal skills:

• Hands on experience working with a Python orchestrator (Dagster, Airflow, Prefect, etc)
• Hands on experience working with various MLOps tools such as MLFlow, Kedro, etc
• Hands on experience working with LLMs and related technologies such as Vector DBs, Agents, etc.

Experience:

• 7 plus years of experience in AI/ML/Data Science

To expedite the application process, I would appreciate it if you could provide the following information at your earliest convenience:

1. Tentative Date to Join (if selected):
2. Current Location:
3. Preferred Location:
4. Current Salary:
5. Expected Salary:
6. Reason for Change:
7. Total Experience:
8. Relevant Experience:
9. Share official email confirmation of Notice Period or Last Working Day :
10. Primary Skills (Hands-on):
11. Secondary Skills:

Please send your updated resume to my email at [email protected] or reach out to me via WhatsApp at 9322922764.