This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.
About Lincode Labs India Pvt Ltd
Our Vision & Our Mission
We strive for being a pioneer in Industry 4.0 backed by professional team and provide world class support to clients and ensure we provide transparent, cost-effective and scalable solution to ever client of ours.
We Are Creative
Its just not business problem solving, we understand that user experience is also very vital for success of any project. Hence we strive to be creative in our solution approach and provide high importance for ease of use. Each of our installations are based on customer study.
We are Agile
Technology services in manufacturing demands high agility in delivery, hence we ensure we follow agile methodologies in our project approach.
What we are Looking For
We are an early stage start-up and it involved high risk high reward environment, doing grunt work at a few times, having ownership and responsibility, working on weekends when needed, and do everything (data engineering, tools development) that should be done to get the task done on time.
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Senior Data Scientist
- 6+ years Experienced in building data pipelines and deployment pipelines for machine learning models
- 4+ years’ experience with ML/AI toolkits such as Tensorflow, Keras, AWS Sagemaker, MXNet, H20, etc.
- 4+ years’ experience developing ML/AI models in Python/R
- Must have leadership abilities to lead a project and team.
- Must have leadership skills to lead and deliver projects, be proactive, take ownership, interface with business, represent the team and spread the knowledge.
- Strong knowledge of statistical data analysis and machine learning techniques (e.g., Bayesian, regression, classification, clustering, time series, deep learning).
- Should be able to help deploy various models and tune them for better performance.
- Working knowledge in operationalizing models in production using model repositories, API s and data pipelines.
- Experience with machine learning and computational statistics packages.
- Experience with Data Bricks, Data Lake.
- Experience with Dremio, Tableau, Power Bi.
- Experience working with spark ML, spark DL with Pyspark would be a big plus!
- Working knowledge of relational database systems like SQL Server, Oracle.
- Knowledge of deploying models in platforms like PCF, AWS, Kubernetes.
- Good knowledge in Continuous integration suites like Jenkins.
- Good knowledge in web servers (Apache, NGINX).
- Good knowledge in Git, Github, Bitbucket.
- Working knowledge in operationalizing models in production using model repositories, APIs and data pipelines.
- Java, R, and Python programming experience.
- Should be very familiar with (MS SQL, Teradata, Oracle, DB2).
- Big Data – Hadoop.
- Expert knowledge using BI tools e.g.Tableau
- Experience with machine learning and computational statistics packages.
- Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
- Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
- Own the end-end process, from recognizing the problem to implementing the solution.
- Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
- Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.
Skills and Qualification
- 12 to 15 yrs of experience.
- An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
- Experience with text mining, parsing, and classification using state-of-the-art techniques.
- Experience with information retrieval, Natural Language Processing, Natural Language
- Understanding and Neural Language Modeling.
- Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
- Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
- Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
- Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Title:- Data Scientist
Experience:-6 years
Work Mode:- Onsite
Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)
Qualification:- Any
Roles & Responsibilities:-
1. Acquiring, cleaning, and preprocessing raw data for analysis.
2. Utilizing statistical methods and tools for analyzing and interpreting complex datasets.
3. Developing and implementing machine learning models for predictive analysis.
4. Creating visualizations to effectively communicate insights to both technical and non-technical stakeholders.
5. Collaborating with cross-functional teams, including data engineers, business analysts, and domain experts.
6. Evaluating and optimizing the performance of machine learning models for accuracy and efficiency.
7. Identifying patterns and trends within data to inform business decision-making.
8. Staying updated on the latest advancements in data science, machine learning, and relevant technologies.
Requirement:-
1. Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.
2. Must have a passion for data, structured or unstructured. 0.6 – 5 years of hands-on experience with Python and SQL is a must.
3. Should have sound experience in data mining, data analysis and machine learning techniques.
4. Excellent critical thinking, verbal and written communications skills.
5. Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
6. Good presentation skills.
Required Skill Set-
Project experience in any of the following - Data Management,
Database Development, Data Migration or Data Warehousing.
• Expertise in SQL, PL/SQL.
Role and Responsibilities -
• Work on a complex data management program for multi-billion dollar
customer
• Work on customer projects related to data migration, data
integration
•No Troubleshooting
• Execution of data pipelines, perform QA, project documentation for
project deliverables
• Perform data profiling, data cleansing, data analysis for migration
data
• Participate and contribute in project meeting
• Experience in data manipulation using Python preferred
• Proficient in using Excel, PowerPoint
-Perform other tasks as per project requirements.
GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
Primary responsibilities:
- Architect, Design and Build high performance Search systems for personalization, optimization, and targeting
- Designing systems with Solr, Akka, Cassandra, Kafka
- Algorithmic development with primary focus Machine Learning
- Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments
- Participation in design and code reviews and recommend improvements
- Unit testing with JUnit, Performance testing and tuning
- Coordination with internal and external teams
- Mentoring junior engineers
- Participate in Product roadmap and Prioritization discussions and decisions
- Evangelize the solution with Professional services and Customer Success teams
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.
What you will achieve:
-
Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
-
Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
-
Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
-
Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
-
Partner with the executive team and other business leaders to deliver cross-functional research work and models
Required Skills:
-
Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
-
Knowledge of deep learning & NLP
-
Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
-
Experience with GPU computing is a plus.
-
Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
-
Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
-
Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
-
Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
-
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
-
Expert-level experience with machine learning that can be applied to business problems
-
Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
-
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
-
Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
-
3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
-
3+ years of experience partnering with executive staff on data topics