Data Science
3 days ago
We have immediate opportunity for Data Science.
Job Role: Data Science
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 highly skilled and experienced AI/ML Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.
Key Responsibilities:
- Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
- Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
- Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
- Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
Skills & Qualifications:
- Strong hands-on experience in Machine Learning, delivering complex solutions to production.
- Experience with Generative AI technologies essential.
- In-depth knowledge of deep learning and Generative AI frameworks such as TensorFlow, PyTorch, Langchain, Lang Graph, Crew AI or similar.
- Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas.
- Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.
- Experience with evaluation, scoring with framework like ML Flow
- Experience of Docker container and edited a Docker file, experience with K8s is a plus.
- Experience with Postgres and Vector DBs a plus.
- Excellent problem-solving skills and the ability to think creatively.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Publications and contributions to the AI research community are a plus.
- Bachelor's/Master's degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
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 or reach out to me via WhatsApp at .
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