Job Description: Data Science Gen Ai

Role: Associate Specialist/ Lead 

Experience: 7- 12 Years

Software Requirements:

• Generative AI Experience:

  • Proven experience in generative AI, with a focus on building Knowledge Graph solutions.

• Graph Database Expertise:

  • Experience in building Knowledge Graphs using graph databases such as AWS Neptune, Neo4j, Nebula, etc.
  • Familiarity with graph formats like RDF, Property Graph, and querying using SPARQL, openCypher, etc.

• Large Language Models (LLM):

  • Prior experience working with Large Language Models and related frameworks.

• Cloud Knowledge:

  • Strong cloud knowledge, preferably with AWS.

• Programming Languages:

  • Proficiency in programming languages such as Python, Java, and TypeScript.

• Data Engineering Skills:

  • Experience with SQL and data processing frameworks like Apache Spark.

Overall Responsibilities:

• Design and develop Knowledge Graph solutions that leverage generative AI technologies.
• Collaborate with cross-functional teams to gather requirements and understand the use cases for Knowledge Graph applications.
• Implement and optimize graph databases for efficient data storage and retrieval.
• Develop and maintain large language model solutions to enhance data processing capabilities.
• Conduct research and stay updated on advancements in generative AI and knowledge graph technologies.
• Provide technical guidance and support to team members in the development of data science projects.

Category-wise Technical Skills:

Knowledge Graph Development:

• Expertise in building Knowledge Graphs and implementing graph databases.

Graph Querying:

• Familiarity with graph formats (RDF, Property Graph) and query languages (SPARQL, openCypher).

Generative AI and LLMs:

• Experience with Large Language Models and their applications.

Cloud Technologies:

• Strong knowledge of AWS services related to data storage and processing.

Programming and Data Engineering:

• Proficiency in Python, Java, and TypeScript.
• Experience with SQL and Apache Spark for data processing.

Experience:

• Minimum of 5 years of experience in data science or related fields, with a focus on generative AI and knowledge graph solutions.
• Proven track record of successful project implementation in related technologies.

Day-to-Day Activities:

• Collaborate with data scientists and engineers to design and implement Knowledge Graph solutions.
• Write, test, and deploy code related to graph databases and generative AI models.
• Analyze and optimize existing data pipelines and algorithms for performance enhancements.
• Participate in team meetings to discuss project progress, challenges, and solutions.
• Conduct code reviews and mentor junior team members in best practices.

Qualifications:

• Required: Bachelor’s or master’s degree in computer science, Data Science, or a related field.

Soft Skills:

• Excellent communication and interpersonal skills to work collaboratively with diverse teams.
• Strong analytical and problem-solving abilities to tackle complex data challenges.
• Ability to manage time effectively and prioritize tasks in a fast-paced environment.
• Adaptability to new technologies and changing project requirements.
• A proactive approach to learning and continuous improvement.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is 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.

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