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LTM

Senior Specialist - Data Sciences

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Job Description

Role description Job Summary Seeking a Senior Specialist with 7 to 11 years of experience in Python and Data Science to develop advanced datadriven solutions that enhance business decisionmaking Job Description Develop and optimized NLP and machine learning models powering enterprise conversational AI and virtual assistant experiences focusing on intent classification entity recognition language understanding and accurate routing of naturallanguage requests Build and maintain training validation and test datasets through utterance generation linguistic annotation data cleaning class balancing negative examples contextual variations and edgecase analysis to strengthen classifier performance and generalization Apply computational linguistics and language engineering to design intententity definitions grammar rules regex patterns synonyms semantic variations and ambiguityresolution strategies for complex and overlapping conversational scenarios Utilize Python and SQL across conversational AI workflows for data processing classifier validation model analysis automation troubleshooting and recurring NLP development activities Evaluate and optimize intent classification performance using Linear SVM Precision Recall F1score Accuracy Confusion Matrices regression testing and falsepositivefalsenegative analysis to isolate model weaknesses and improve recognition quality Analyze conversational data and model telemetry to uncover misclassified utterances intent overlap linguistic patterns dataquality gaps and performance trends translating findings into targeted trainingdata and model improvements Apply prompt engineering techniques to design refine and evaluate prompts for Generative AI use cases focusing on contextual relevance response quality consistency and alignment with conversational requirements Research emerging NLP Generative AI and LLM techniques including semantic approaches to evaluate opportunities for advancing intent recognition and enterprise conversational experiences Collaborated crossfunctionally with ML engineers software engineers UX researchers product teams and business stakeholders across model development validation production implementation troubleshooting and Agile delivery while reporting classifier performance KPIs defects and optimization opportunities
Skills Mandatory Skills :
Python - Data Science Other details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer :
The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits Compensation range:
$98,015.00 to $146,600.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
Recruitment Fraud Alert - https:
//www.ltm.com/careers/recruitment-fraud-alert

Benefits

  • Paid Time Off (PTO)
  • Sick Leave
  • 401(k) Plans
  • Health Insurance