Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus
Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus
Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.
About Contify
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Responsibilities:
- Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
- Driving optimization, testing and tooling to improve quality.
- Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
- Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
- Following proper SDLC (Code review, sprint process).
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
- Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
- Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
- Supporting and contributing to development guidelines and standards for data ingestion.
- Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
- Designing and documenting the development & deployment flow.
Requirements:
- Experience in developing rest API services using one of the Scala frameworks.
- Ability to troubleshoot and optimize complex queries on the Spark platform
- Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
- Knowledge in modelling unstructured to structured data design.
- Experience in Big Data access and storage techniques.
- Experience in doing cost estimation based on the design and development.
- Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
- Highly organized, self-motivated, proactive, and ability to propose best design solutions.
- Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.
About Thriving Springs:
Have you ever wondered, what does it take to succeed at the workplace ? Is it only technical skills or do behavior skills also play a role ?
Research suggests that 85% of job success depends on soft and behavioral skills and this is where Thriving Springs plays a critical role by helping organizations, teams and individuals build these skills and unlock their highest potential and achieve an all round success. It does this by assessing current levels of soft and behavioral skills and then helping in growing them through Thriving Springs’s innovative smart platform that combines the power of emotional intelligence (EI) with artificial intelligence (AI) and machine learning (ML).
Why join Thriving Springs?
While there are many companies, however, companies that are built with a clear purpose and mission to take humanity forward are rare. Thriving Springs - An Edtech startup is one of the pioneers in driving human productivity, fulfillment and success forward through empowering millions of working professionals globally with soft and behavioral skills and assisting them in the flow of work. Thriving Springs is leading a worldwide and purpose-led movement to drive success at the workplace and we invite you to join this fun and adventurous journey with us.
Culture, Rewards and Benefits:
A great culture is created when everybody in the company has great opportunities, creates meaningful impact and contributes to the good of society - Larry Page - Founder - Google
The founders of Thriving Springs come from Google and have built a Google-like culture within Thriving Springs where every team member experiences freedom and autonomy to pursue their ideas that have a deep impact and will shape the future of workplace learning. The culture at Thriving Springs is deeply rooted in emotional intelligence where there is an emphasis on collaboration, empathy and winning together as one team.
The candidate will receive an attractive total compensation package including a competitive fixed salary, performance bonuses and ESOPs translating into non-incremental gains as the company grows into a potential unicorn. In addition, every member will receive medical and health insurance.
Location: Hyderabad, India
Qualifications:
BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.
Responsibilities:
Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team
This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions
Designing and developing NLP applications
Using effective text representation techniques and classification algorithms
Proven experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Working knowledge on pretrained NLP Models (ULMFiT, Transformer, BERT etc)
Ability to effectively design software architecture
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
Proficiency with a deep learning framework such as TensorFlow, Keras or PyTorch) and libraries (like scikit-learn, Pandas and Numpy)
Proficiency with Python and basic libraries for machine learning.
Proficiency with IDEs – Jupyter Notebook, Spyder, Anaconda environments.
Familiarity with Linux (Centos and Ubuntu)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Develop machine learning pipeline
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Experience with Git based version control
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
We are hiring for software engineer Minimum 1 year experience engineering graduate from Mechanical/EEE/EC/CS stream
- Primary role will be helping our customers to assist in development requirement in image processing
- It will also involves development technical specifications and product description in image processing field.
You will get to work on new and disruptive technologies.
Key Skills:
Familiarization with basic Linux commands *Hands on experience in image processing application development based on Deep Neural Networks, open cv etc
*Experience in working with Python, R, Tensorflow and C/C++
Job Location : Hyderabad
Resumes to be sent to Ogive mail id
About us
SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.
Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do
What you will do?
- Deliver plugins for our python based ETL pipelines.
- Deliver python services for provisioning and managing cloud infrastructure.
- Design, Develop, Unit Test, and Support code in production.
- Deal with challenges associated with large volumes of data.
- Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
- Thrive in an environment that uses AWS and Elasticsearch extensively.
- Keep abreast of technology and contribute to the evolution of the product.
- Champion best practices and provide mentorship.
What we're looking for
- Python 3.
- Python libraries used for data (such as pandas, numpy).
- AWS.
- Elasticsearch.
- Performance tuning.
- Object Oriented Design and Modelling.
- Delivering complex software, ideally in a FinTech setting.
- CI/CD tools.
- Knowledge of design patterns.
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
What will you get?
- This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
- You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
- Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users.
Required Experience
- Implementation of interactive visualizations using Tableau Desktop
- Integration with Tableau Server and support of production dashboards and embedded reports with it
- Writing and optimization of SQL queries
- Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis
- 3 years of experience working as a Software Engineer / Senior Software Engineer
- Bachelors in Engineering – can be Electronic and comm , Computer , IT
- Well versed with Basic Data Structures Algorithms and system design
- Should be capable of working well in a team – and should possess very good communication skills
- Self-motivated and fun to work with and organized
- Productive and efficient working remotely
- Test driven mindset with a knack for finding issues and problems at earlier stages of development
- Interest in learning and picking up a wide range of cutting edge technologies
- Should be curious and interested in learning some Data science related concepts and domain knowledge
- Work alongside other engineers on the team to elevate technology and consistently apply best practices
Highly Desirable
- Data Analytics
- Experience in AWS cloud or any cloud technologies
- Experience in BigData technologies and streaming like – pyspark, kafka is a big plus
- Shell scripting
- Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark
- Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational
The Role
We are looking for a tech enthusiast who can work with us to help further our product development with Augmented Reality to keep us ahead of the technology curve. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of computer vision systems building towards a high accuracy SLAM solution.
Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.
Some of the main responsibilities include:
-
Develop objectives and design research projects
- Design, build and maintain high performance, reusable and reliable code
- Work with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning.
Qualifications, Skills & Competencies
-
Masters / Phd in Computer Science, Mathematics or relevant experience
-
3+ years of experience in geometric computer vision, algorithms, SfM / SLAM, visual inertial odometry / 3D reconstruction / sensor fusion.
-
Experience in Deep Learning for SLAM and related frameworks
-
Experience in sensor fusion (IMU, camera) and in probabilistic filters- EKF, UKF
-
Strong mathematical understanding - linear algebra, 3d-geometry, probability.
-
Proficiency in programming - C++, python and knowledge of algorithms
-
Proficiency in programming - C++, python and knowledge of algorithms
-
Proven experience in product development (monocular SLAM, multi-view camera
calibration)
-
Strong background in computer vision and ML/DL
-
Experience in optimization of SLAM algorithms
-
Comfort with communication and collaboration across teams. The ability to multitask, manage tasks with varying priorities and align with stakeholders.
- 3+ years of experience in Machine Learning
- Bachelors/Masters in Computer Engineering/Science.
- Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
- 10 and 12th acedemics 70 % & above.
Skills :
- Strong Python/ programming skills
- Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing
- Strong verbal and written communication skills.
- Should be able to manage team, meet project deadlines and interface with clients.
- Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions